103 Result(s)
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Chapter and Conference Paper
C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images
Cardiac magnetic resonance (CMR) plays an important role in clinically assessing cardiovascular diseases. However, CMR is inherently slow leading to patient discomfort and degraded image quality. Compared with...
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Chapter and Conference Paper
MaskMel-Prosody-CycleGAN-VC: High-Quality Cross-Lingual Voice Conversion
Voice conversion aims to change the timber of the source speaker to that of the target speaker without changing the speech content. The cross-lingual voice conversion requires non-parallel training data in two...
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Chapter and Conference Paper
Zero-Shot Singing Voice Conversion Based on Timbre Space Modeling and Excitation Signal Control
In recent years, singing voice conversion technology has rapidly advanced and is capable of generating high-quality singing voices. However, challenges persist, such as pitch fluctuations and significant diffe...
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Chapter and Conference Paper
Design and Implementation of a Green Credit Risk Control Model Based on SecureBoost and Improved-TCA Algorithm
Green credit plays a crucial role in promoting green transformation of enterprises and advancing social sustainable development. However, the current green credit rating disclosure system lacks data sharing be...
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Chapter and Conference Paper
A Stock Price Trend Prediction Method Based on Market Sentiment Factors and Multi-layer Stacking Ensemble Learning with Dual-CNN-LSTM Models and Nested Heterogeneous Learners
Investor sentiment, as a factor influencing stock price volatility, has received increasing research attention in recent years. This study proposes a more comprehensive representation of sentiment by incorpora...
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Chapter and Conference Paper
Exploring Motivation in Oral English Learning Among Chinese English Majors Through Mobile-Assisted Service Learning
This research examines Chinese English majors' motivation in oral English learning and the influence of WeChat and DingTalk in the light of Self-Determination Theory (SDT). A mobile-assisted service-learning p...
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Chapter and Conference Paper
Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model
The images automatic segmentation is an important technique for medical treatment. It can help doctor to relieve from heavy works of reading ultrasound images, especially for brachial plexus images. Moreover, ...
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Chapter and Conference Paper
Landing Trajectory and Control Optimization for Helicopter in Tail Rotor Pitch Lockup
This paper studies the optimal landing trajectory and control strategy for helicopter in tail rotor pitch lockup. A flight dynamics model of a single rotor helicopter with a tail rotor is established. The opti...
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Chapter and Conference Paper
Human-Machine Interactive Tissue Prototype Learning for Label-Efficient Histopathology Image Segmentation
Deep learning have greatly advanced histopathology image segmentation but usually require abundant annotated data. However, due to the gigapixel scale of whole slide images and pathologists’ heavy daily worklo...
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Chapter and Conference Paper
Construction of Digital Communication Platform of Yellow River Culture Based on Multimedia Communication
The traditional digital communication platform construction method has a small number of functional nodes and high overall message complexity. In response to this problem, a construction method for the digital...
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Chapter and Conference Paper
Multi-organ Segmentation Based on 2.5D Semi-supervised Learning
Automatic segmentation of multiple organs is a challenging topic. Most existing approaches are based on 2D network or 3D network, which leads to insufficient contextual exploration in organ segmentation. In re...
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Chapter and Conference Paper
Recent Advances in Smart Meter: Data Analysis, Privacy Preservation and Applications
The widespread popularity of smart meters has promoted the transition from traditional grid into modern smart grid, which is aimed to meet the rapid-growing demand for higher quality service and take up the em...
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Chapter and Conference Paper
Traceability Analysis of Feng-Flavour Daqu in China
High throughput sequencing was used to analyze the microbial community landscape of Chinese Feng-Flavour Daqu, and to study the specific contribution of different environmental factors to Daqu microorganisms. ...
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Chapter and Conference Paper
CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication
Sparse Matrix-Vector Multiplication (SpMV) plays a critical role in many areas of science and engineering applications. The storage space of value array in general real sparse matrices accounts for costly. How...
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Chapter and Conference Paper
Target Detection in Infrared Image of Transmission Line Based on Faster-RCNN
Compared with the visual image, the infrared image of the transmission line has lost some image characteristics and the image resolution is lower. In this paper, an improved Faster-RCNN method is used to locat...
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Chapter and Conference Paper
Review of Covid-19 Diagnosis Techniques Combined with Machine Learning and AI Analysis
The pandemic of coronavirus disease 2019 (COVID-19) is rapidly spreading all over the world. In order to reduce the workload of doctors, chest X-ray (CXR) and chest computed tomography (CT) scans are playing a...
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Chapter and Conference Paper
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering
Finding accurate correspondences among different views is the Achilles’ heel of unsupervised Multi-View Stereo (MVS). Existing methods are built upon the assumption that corresponding pixels share similar phot...
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Chapter and Conference Paper
Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
Segmentation of whole slide images (WSIs) is an important step for computer-aided cancer diagnosis. However, due to the gigapixel dimension, WSIs are usually cropped into patches for analysis. Processing high-...
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Chapter and Conference Paper
Multi-Scale Spatial Transform Network for Atmospheric Polarization Prediction
Sequential atmospheric polarization patterns can provide information for navigation when cues from a satellite source are not available. However, the real scenarios with extreme environments often cause corrup...
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Chapter and Conference Paper
Coronavirus Disease (COVID-19) X-Ray Film Classification Based on Convolutional Neural Network
The main incidence of pneumonia in Wuhan is that Coronavirus Disease (COVID-19) infects the lungs and causes respiratory failure [1]. Based on the technical research of lung infection detection, the medical image...
